Top DevOps Jobs in Dublin

Designs, implements, and optimizes Azure database solutions across SQL, Cosmos DB, PostgreSQL, Redis, and Data Factory. Manages performance, scalability, high availability, backup, recovery, disaster recovery, monitoring, and troubleshooting. Automates database deployments using Terraform or Bicep, supports data modeling and query optimization, and ensures security, privacy, and compliance. Collaborates with development teams, maintains documentation, and shares technical knowledge.

Designs, implements, and manages Azure database solutions, optimizing performance, scalability, reliability, backup, recovery, and disaster recovery. Troubleshoots database issues, automates deployments using Terraform or Bicep, supports data modeling and query optimization, and ensures data security and compliance. The role also involves monitoring, documentation, collaboration with development teams, and knowledge sharing.

Designs, implements, and manages Azure database solutions across SQL, Cosmos DB, PostgreSQL, Redis, and Data Factory. Responsibilities include performance tuning, scalability, reliability, backup and disaster recovery, monitoring, troubleshooting, Infrastructure as Code automation, data modeling support, security compliance, documentation, and knowledge sharing. The role also collaborates with development teams on database deployments and query optimization.

Designs, implements, and optimizes Azure database platforms using Azure SQL, Cosmos DB, PostgreSQL, Redis, and Data Factory. Manages performance, scalability, reliability, backups, disaster recovery, monitoring, troubleshooting, and data integrity. Automates deployments with Terraform or Bicep, supports data modeling and query optimization, and ensures security, privacy, and compliance. Collaborates with development teams, maintains documentation, and shares technical knowledge.

Designs, implements, and manages Azure database platforms, including Azure SQL, Cosmos DB, PostgreSQL, Redis, and Data Factory. Optimizes performance, scalability, reliability, and query execution; manages backup and disaster recovery; monitors and troubleshoots database systems; automates deployments with Terraform or Bicep; supports data modeling and schema design; and ensures security, privacy, compliance, documentation, and knowledge sharing.

Designs, implements, and manages Azure database platforms, including Azure SQL, Cosmos DB, PostgreSQL, Redis, and Data Factory. Responsibilities include performance tuning, high availability, backup and disaster recovery, monitoring, troubleshooting, Infrastructure as Code automation, database deployment, security compliance, data modeling support, documentation, and cross-team knowledge sharing.

Designs, implements, and operates Azure database solutions across SQL, NoSQL, PostgreSQL, caching, and data integration services. Optimizes performance, scalability, reliability, and queries; manages backup, recovery, disaster recovery, monitoring, and troubleshooting. Automates database deployments with Terraform or Bicep, supports data modeling and schema design, and ensures security, governance, privacy, and compliance. The role also documents solutions, collaborates with development teams, and shares technical knowledge.

Designs, implements, and supports Azure database solutions across SQL, NoSQL, PostgreSQL, caching, and data integration services. Responsibilities include performance tuning, scalability, backup and disaster recovery, monitoring, troubleshooting, automation through Terraform or Bicep, data modeling support, security and compliance, documentation, and cross-team knowledge sharing.

Designs, implements, and manages Azure database solutions, including Azure SQL, Cosmos DB, PostgreSQL, Redis, and Data Factory. Optimizes performance, scalability, reliability, and query execution; manages backup, recovery, disaster recovery, monitoring, and troubleshooting. Automates database deployments with Terraform or Bicep, supports data modeling and schema design, and ensures security, privacy, governance, and compliance. Collaborates with development teams and shares technical knowledge.

Designs, implements, and manages Azure database solutions, optimizing performance, scalability, reliability, security, and availability. Responsibilities include backup and disaster recovery, monitoring and troubleshooting, infrastructure-as-code automation, database deployments, schema and query optimization, compliance, documentation, and cross-team knowledge sharing. The role supports Azure SQL, Cosmos DB, PostgreSQL, Redis, and Data Factory environments while partnering with development and DevOps teams.

Provides strategic and technical leadership for a large-scale software engineering organization. Leads enterprise software, cloud-native architecture, AI-powered solutions, engineering standards, DevOps, CI/CD, and responsible AI adoption. Guides multidisciplinary engineering leaders, mentors senior technical staff, evaluates emerging technologies, and partners with product and business stakeholders to deliver scalable healthcare technology solutions.

Designs and supports cloud-native infrastructure, automation, landing zones, networking, and security infrastructure for AWS regions. Builds infrastructure-as-code modules, CI/CD tools, developer platforms, and migration tooling. Maintains highly available production and nonproduction environments, promotes DevOps practices and code quality, and mentors developers on infrastructure tooling and support systems.

Build and architect scalable cloud and on-premises monitoring solutions across infrastructure, APM, and logs. Develop custom automation scripts, create testable configuration patterns, and advise clients on observability, SRE, and DevOps best practices. The role involves working across diverse client environments, managing multiple projects, exploring AI applications in observability, and accommodating US working hours and customer onsite engagements as needed.

Build and maintain scalable Snowflake data pipelines, write optimized SQL and stored procedures, automate workflows with tasks and streams, configure data sharing, and develop transformations using Snowpark and Python. Analyze complex datasets, resolve data quality issues, manage code with GitHub, and apply DevOps practices to improve deployment and reliability. The role is hybrid in Dublin and supports data infrastructure for a global financial institution.

Leads enterprise delivery of AI solutions from concept through production, adoption, and scale. Manages AI engineering teams, roadmaps, backlogs, governance, releases, and delivery metrics. Oversees AI agents, copilots, generative AI applications, automation, machine learning, and enterprise integrations. Partners with business and technical leaders to prioritize opportunities, resolve dependencies, and ensure solutions are secure, scalable, governed, and operationally resilient.

Leads a hands-on engineering team delivering reliable MarTech, customer, commercial, and AdTech platforms. Responsibilities include managing 6–10 engineers, contributing to design and code review, implementing AI-assisted development, RAG and vector database patterns, cloud and CI/CD practices, SRE reliability, observability, AI security guardrails, and cost controls. The manager translates product roadmaps into engineering plans, partners cross-functionally, reports delivery risks, and coaches engineering talent.

Build and maintain scalable Snowflake data pipelines for a global financial institution. Responsibilities include writing optimized SQL and stored procedures, developing Snowflake tasks and streams, configuring data sharing, using Snowpark and Python for transformations, analyzing complex datasets, managing code with GitHub, and applying DevOps practices.

Leads end-to-end delivery of complex digital transformation, cloud, data, analytics, and systems integration projects. Manages scope, budgets, schedules, resources, risks, governance, suppliers, and stakeholder alignment. Coordinates multidisciplinary technical teams delivering Azure, Power Platform, Power BI, Fabric, Dynamics 365, and integration solutions. Applies Agile or Waterfall methodologies, oversees quality and security controls, translates technical risks into business impacts, and supports governance decisions and benefits realization.

Lead end-to-end technical architecture for complex enterprise programmes across cloud, AI, and enterprise platforms. Define target-state and transition architectures, make build/buy/reuse decisions, govern design standards, and maintain architecture documentation. Engage senior clients, facilitate workshops, guide platform and integration choices, mentor technical teams, oversee delivery alignment, and contribute to architecture practice development. The role requires cloud expertise, distributed systems and security knowledge, AI-enabled development experience, and strong client-facing leadership.

Connects business needs with technology solutions by gathering requirements, analyzing processes, documenting user stories and workflows, supporting business cases, and facilitating testing and solution validation. Collaborates with stakeholders, delivery teams, and technical specialists on data analytics, digital transformation, and technology-enabled projects. Provides guidance on business analysis practices while supporting Agile delivery and data-driven decision-making.

Design scalable, highly available applications and infrastructure using MongoDB; advise customers on architecture, optimization, and business value; partner with sales teams on discovery, demos, proof of value, presentations, sizing, and deal execution; generate demand through technical initiatives and events; build customer champions; mentor colleagues; and maintain expertise in MongoDB, cloud, distributed systems, AI, and modern architecture patterns.

Lead pre-sales architecture for MongoDB Atlas and specialize in application search, including lexical and semantic search. Advise customers on scalable systems, conduct technical discovery, demos, proofs of value, presentations, sizing, and documentation, and support complex enterprise deal cycles. Enable other solution architects, mentor colleagues, relay customer feedback to Product Management, and influence Vector Search and AI/ML direction. The role is remote in Barcelona, Dublin, or London and requires approximately 25% travel.

Leads 2K’s global data engineering strategy, telemetry architecture, cloud infrastructure efficiency, ML Ops enablement, and proactive modeling capabilities. Oversees high-scale distributed data systems, streaming telemetry, feature pipelines, FinOps, and operational excellence. Builds partnerships across studios and executive teams while hiring, mentoring, and developing a world-class engineering organization.

Leads end-to-end software development for Walmart Ads’ Unified Recommendations Platform, including system design, coding, testing, deployment, monitoring, and maintenance. Builds scalable cloud-native distributed systems, integrates AI/ML capabilities, conducts design reviews, and drives technical execution. Mentors engineers, collaborates with stakeholders, defines success metrics, and improves engineering processes, tooling, and products.

Build and own event-driven microservices for M-KOPA Mobility’s electric-mobility financing platform. Responsibilities include designing C#/.NET backend solutions, managing production systems, applying DevOps and infrastructure-as-code practices, implementing automated testing and continuous delivery, and using observability tools such as Prometheus and Grafana. The role involves collaborating across global teams, contributing to architecture decisions, monitoring services, and leveraging AI coding tools such as Claude Code.